{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n  from ._conv import register_converters as _register_converters\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import sys\n",
    "import random\n",
    "import math\n",
    "import numpy as np\n",
    "import skimage.io\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import coco\n",
    "import utils\n",
    "import model as modellib\n",
    "import visualize\n",
    "from model import log\n",
    "from Clothes_train import FIDataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loading image:0/59\nloading image:1/59\nloading image:2/59\nloading image:3/59\nloading image:4/59\nloading image:5/59\nloading image:6/59\nloading image:7/59\nloading image:8/59\nloading image:9/59\nloading image:10/59\nloading image:11/59\nloading image:12/59\nloading image:13/59\nloading image:14/59\nloading image:15/59\nloading image:16/59\nloading image:17/59\nloading image:18/59\nloading image:19/59\nloading image:20/59\nloading image:21/59\nloading image:22/59\nloading image:23/59\nloading image:24/59\nloading image:25/59\nloading image:26/59\nloading image:27/59\nloading image:28/59\nloading image:29/59\nloading image:30/59\nloading image:31/59\nloading image:32/59\nloading image:33/59\nloading image:34/59\nloading image:35/59\nloading image:36/59\nloading image:37/59\nloading image:38/59\nloading image:39/59\nloading image:40/59\nloading image:41/59\nloading image:42/59\nloading image:43/59\nloading image:44/59\nloading image:45/59\nloading image:46/59\nloading image:47/59\nloading image:48/59\nloading image:49/59\nloading image:50/59\nloading image:51/59\nloading image:52/59\nloading image:53/59\nloading image:54/59\nloading image:55/59\nloading image:56/59\nloading image:57/59\nloading image:58/59\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loading image:0/441\nloading image:1/441\nloading image:2/441\nloading image:3/441\nloading image:4/441\nloading image:5/441\nloading image:6/441\nloading image:7/441\nloading image:8/441\nloading image:9/441\nloading image:10/441\nloading image:11/441\nloading image:12/441\nloading image:13/441\nloading image:14/441\nloading image:15/441\nloading image:16/441\nloading image:17/441\nloading image:18/441\nloading image:19/441\nloading image:20/441\nloading image:21/441\nloading image:22/441\nloading image:23/441\nloading image:24/441\nloading image:25/441\nloading image:26/441\nloading image:27/441\nloading image:28/441\nloading image:29/441\nloading image:30/441\nloading image:31/441\nloading image:32/441\nloading image:33/441\nloading image:34/441\nloading image:35/441\nloading image:36/441\nloading image:37/441\nloading image:38/441\nloading image:39/441\nloading image:40/441\nloading image:41/441\nloading image:42/441\nloading image:43/441\nloading image:44/441\nloading image:45/441\nloading image:46/441\nloading image:47/441\nloading image:48/441\nloading image:49/441\nloading image:50/441\nloading image:51/441\nloading image:52/441\nloading image:53/441\nloading image:54/441\nloading image:55/441\nloading image:56/441\nloading image:57/441\nloading image:58/441\nloading image:59/441\nloading image:60/441\nloading image:61/441\nloading image:62/441\nloading image:63/441\nloading image:64/441\nloading image:65/441\nloading image:66/441\nloading image:67/441\nloading image:68/441\nloading image:69/441\nloading image:70/441\nloading image:71/441\nloading image:72/441\nloading image:73/441\nloading image:74/441\nloading image:75/441\nloading image:76/441\nloading image:77/441\nloading image:78/441\nloading image:79/441\nloading image:80/441\nloading image:81/441\nloading image:82/441\nloading image:83/441\nloading image:84/441\nloading image:85/441\nloading image:86/441\nloading image:87/441\nloading image:88/441\nloading image:89/441\nloading image:90/441\nloading image:91/441\nloading image:92/441\nloading image:93/441\nloading image:94/441\nloading image:95/441\nloading image:96/441\nloading image:97/441\nloading image:98/441\nloading image:99/441\nloading image:100/441\nloading image:101/441\nloading image:102/441\nloading image:103/441\nloading image:104/441\nloading image:105/441\nloading image:106/441\nloading image:107/441\nloading image:108/441\nloading image:109/441\nloading image:110/441\nloading image:111/441\nloading image:112/441\nloading image:113/441\nloading image:114/441\nloading image:115/441\nloading image:116/441\nloading image:117/441\nloading image:118/441\nloading image:119/441\nloading image:120/441\nloading image:121/441\nloading image:122/441\nloading image:123/441\nloading image:124/441\nloading image:125/441\nloading image:126/441\nloading image:127/441\nloading image:128/441\nloading image:129/441\nloading image:130/441\nloading image:131/441\nloading image:132/441\nloading image:133/441\nloading image:134/441\nloading image:135/441\nloading image:136/441\nloading image:137/441\nloading image:138/441\nloading image:139/441\nloading image:140/441\nloading image:141/441\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loading image:142/441\nloading image:143/441\nloading image:144/441\nloading image:145/441\nloading image:146/441\nloading image:147/441\nloading image:148/441\nloading image:149/441\nloading image:150/441\nloading image:151/441\nloading image:152/441\nloading image:153/441\nloading image:154/441\nloading image:155/441\nloading image:156/441\nloading image:157/441\nloading image:158/441\nloading image:159/441\nloading image:160/441\nloading image:161/441\nloading image:162/441\nloading image:163/441\nloading image:164/441\nloading image:165/441\nloading image:166/441\nloading image:167/441\nloading image:168/441\nloading image:169/441\nloading image:170/441\nloading image:171/441\nloading image:172/441\nloading image:173/441\nloading image:174/441\nloading image:175/441\nloading image:176/441\nloading image:177/441\nloading image:178/441\nloading image:179/441\nloading image:180/441\nloading image:181/441\nloading image:182/441\nloading image:183/441\nloading image:184/441\nloading image:185/441\nloading image:186/441\nloading image:187/441\nloading image:188/441\nloading image:189/441\nloading image:190/441\nloading image:191/441\nloading image:192/441\nloading image:193/441\nloading image:194/441\nloading image:195/441\nloading image:196/441\nloading image:197/441\nloading image:198/441\nloading image:199/441\nloading image:200/441\nloading image:201/441\nloading image:202/441\nloading image:203/441\nloading image:204/441\nloading image:205/441\nloading image:206/441\nloading image:207/441\nloading image:208/441\nloading image:209/441\nloading image:210/441\nloading image:211/441\nloading image:212/441\nloading image:213/441\nloading image:214/441\nloading image:215/441\nloading image:216/441\nloading image:217/441\nloading image:218/441\nloading image:219/441\nloading image:220/441\nloading image:221/441\nloading image:222/441\nloading image:223/441\nloading image:224/441\nloading image:225/441\nloading image:226/441\nloading image:227/441\nloading image:228/441\nloading image:229/441\nloading image:230/441\nloading image:231/441\nloading image:232/441\nloading image:233/441\nloading image:234/441\nloading image:235/441\nloading image:236/441\nloading image:237/441\nloading image:238/441\nloading image:239/441\nloading image:240/441\nloading image:241/441\nloading image:242/441\nloading image:243/441\nloading image:244/441\nloading image:245/441\nloading image:246/441\nloading image:247/441\nloading image:248/441\nloading image:249/441\nloading image:250/441\nloading image:251/441\nloading image:252/441\nloading image:253/441\nloading image:254/441\nloading image:255/441\nloading image:256/441\nloading image:257/441\nloading image:258/441\nloading image:259/441\nloading image:260/441\nloading image:261/441\nloading image:262/441\nloading image:263/441\nloading image:264/441\nloading image:265/441\nloading image:266/441\nloading image:267/441\nloading image:268/441"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\nloading image:269/441\nloading image:270/441\nloading image:271/441\nloading image:272/441\nloading image:273/441\nloading image:274/441\nloading image:275/441\nloading image:276/441\nloading image:277/441\nloading image:278/441\nloading image:279/441\nloading image:280/441\nloading image:281/441\nloading image:282/441\nloading image:283/441\nloading image:284/441\nloading image:285/441\nloading image:286/441\nloading image:287/441\nloading image:288/441\nloading image:289/441\nloading image:290/441\nloading image:291/441\nloading image:292/441\nloading image:293/441\nloading image:294/441\nloading image:295/441\nloading image:296/441\nloading image:297/441\nloading image:298/441\nloading image:299/441\nloading image:300/441\nloading image:301/441\nloading image:302/441\nloading image:303/441\nloading image:304/441\nloading image:305/441\nloading image:306/441\nloading image:307/441\nloading image:308/441\nloading image:309/441\nloading image:310/441\nloading image:311/441\nloading image:312/441\nloading image:313/441\nloading image:314/441\nloading image:315/441\nloading image:316/441\nloading image:317/441\nloading image:318/441\nloading image:319/441\nloading image:320/441\nloading image:321/441\nloading image:322/441\nloading image:323/441\nloading image:324/441\nloading image:325/441\nloading image:326/441\nloading image:327/441\nloading image:328/441\nloading image:329/441\nloading image:330/441\nloading image:331/441\nloading image:332/441\nloading image:333/441\nloading image:334/441\nloading image:335/441\nloading image:336/441\nloading image:337/441\nloading image:338/441\nloading image:339/441\nloading image:340/441\nloading image:341/441\nloading image:342/441\nloading image:343/441\nloading image:344/441\nloading image:345/441\nloading image:346/441\nloading image:347/441\nloading image:348/441\nloading image:349/441\nloading image:350/441\nloading image:351/441\nloading image:352/441\nloading image:353/441\nloading image:354/441\nloading image:355/441\nloading image:356/441\nloading image:357/441\nloading image:358/441\nloading image:359/441\nloading image:360/441\nloading image:361/441\nloading image:362/441\nloading image:363/441\nloading image:364/441\nloading image:365/441\nloading image:366/441\nloading image:367/441\nloading image:368/441\nloading image:369/441\nloading image:370/441\nloading image:371/441\nloading image:372/441\nloading image:373/441\nloading image:374/441\nloading image:375/441\nloading image:376/441\nloading image:377/441\nloading image:378/441\nloading image:379/441\nloading image:380/441\nloading image:381/441\nloading image:382/441\nloading image:383/441\nloading image:384/441\nloading image:385/441\nloading image:386/441\nloading image:387/441\nloading image:388/441\nloading image:389/441\nloading image:390/441\nloading image:391/441\nloading image:392/441\nloading image:393/441\nloading image:394/441\nloading image:395/441\nloading image:396/441\nloading image:397/441\nloading image:398/441\nloading image:399/441\nloading image:400/441\nloading image:401/441\nloading image:402/441\nloading image:403/441\nloading image:404/441\nloading image:405/441\nloading image:406/441\nloading image:407/441\nloading image:408/441\nloading image:409/441\nloading image:410/441\nloading image:411/441\nloading image:412/441\nloading image:413/441\nloading image:414/441\nloading image:415/441\nloading image:416/441\nloading image:417/441\nloading image:418/441\nloading image:419/441\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loading image:420/441\nloading image:421/441\nloading image:422/441\nloading image:423/441\nloading image:424/441\nloading image:425/441\nloading image:426/441\nloading image:427/441\nloading image:428/441\nloading image:429/441\nloading image:430/441\nloading image:431/441\nloading image:432/441\nloading image:433/441\nloading image:434/441\nloading image:435/441\nloading image:436/441\nloading image:437/441\nloading image:438/441\nloading image:439/441\nloading image:440/441\n"
     ]
    }
   ],
   "source": [
    "dataset_train = FIDataset()\n",
    "dataset_train.load_FI(category='train')\n",
    "dataset_train.prepare()\n",
    "\n",
    "# Validation dataset\n",
    "dataset_val = FIDataset()\n",
    "dataset_val.load_FI(category='val')\n",
    "dataset_val.prepare()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "class InferenceConfig(coco.CocoConfig):\n",
    "  # Give the configuration a recognizable name\n",
    "    NAME = \"FI\"\n",
    "\n",
    "    # Train on 1 GPU and 8 images per GPU. We can put multiple images on each\n",
    "    # GPU because the images are small. Batch size is 8 (GPUs * images/GPU).\n",
    "    GPU_COUNT = 1\n",
    "    IMAGES_PER_GPU = 1\n",
    "    NUM_KEYPOINTS = 24\n",
    "    KEYPOINT_MASK_SHAPE = [56, 56]\n",
    "    # Number of classes (including background)\n",
    "    NUM_CLASSES = 1 + 1  # background + 24 key_point\n",
    "\n",
    "    RPN_TRAIN_ANCHORS_PER_IMAGE = 150\n",
    "    VALIDATION_STPES = 100\n",
    "    STEPS_PER_EPOCH = 100\n",
    "    MINI_MASK_SHAPE = (56, 56)\n",
    "    KEYPOINT_MASK_POOL_SIZE = 7\n",
    "            # Pooled ROIs\n",
    "    POOL_SIZE = 7\n",
    "    MASK_POOL_SIZE = 14\n",
    "    MASK_SHAPE = [28, 28]\n",
    "    WEIGHT_LOSS = True\n",
    "    KEYPOINT_THRESHOLD = 0.005\n",
    "    # Maximum number of ground truth instances to use in one image\n",
    "    MAX_GT_INSTANCES = 128\n",
    "inference_config=InferenceConfig()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Test on a random image\n",
    "image_id = random.choice(dataset_val.image_ids)\n",
    "original_image, image_meta, gt_class_id, gt_bbox, gt_keypoint =\\\n",
    "    modellib.load_image_gt_keypoints(dataset_val, inference_config, \n",
    "                           image_id, augment=False,use_mini_mask=inference_config.USE_MINI_MASK)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "original_image           shape: (512, 512, 3)         min:    0.00000  max:  255.00000\nimage_meta               shape: (10,)                 min:    0.00000  max:  512.00000\ngt_class_id              shape: (1,)                  min:    1.00000  max:    1.00000\ngt_bbox                  shape: (1, 4)                min:   35.00000  max:  479.00000\ngt_keypoint              shape: (1, 24, 3)            min:    0.00000  max:  478.00000\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA5EAAAOICAYAAABPC3XsAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nEgAAAACQjEYkAAAAACDZ/w/F+pDdhTcYcQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f589d7ee0f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "NameError",
     "evalue": "name 'gt_mask' is not defined",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-18-eadddbb7cf21>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mlog\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"gt_keypoint\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgt_keypoint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0mvisualize\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdisplay_keypoints\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moriginal_image\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mgt_bbox\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mgt_keypoint\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mgt_class_id\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mdataset_val\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclass_names\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m visualize.display_instances(original_image, gt_bbox, gt_mask, gt_class_id, \n\u001b[0m\u001b[1;32m      8\u001b[0m                             dataset_val.class_names,)\n",
      "\u001b[0;31mNameError\u001b[0m: name 'gt_mask' is not defined"
     ],
     "output_type": "error"
    }
   ],
   "source": [
    "log(\"original_image\", original_image)\n",
    "log(\"image_meta\", image_meta)\n",
    "log(\"gt_class_id\", gt_class_id)\n",
    "log(\"gt_bbox\", gt_bbox)\n",
    "log(\"gt_keypoint\", gt_keypoint)\n",
    "visualize.display_keypoints(original_image,gt_bbox,gt_keypoint,gt_class_id,dataset_val.class_names)\n",
    "visualize.display_instances(original_image, gt_bbox, gt_mask, gt_class_id, \n",
    "                            dataset_val.class_names,)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 4)\n"
     ]
    }
   ],
   "source": [
    "print(gt_bbox.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    ""
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2.0
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}